From 6f71fb102f509d705d3abaa1f44638a19f57e92e Mon Sep 17 00:00:00 2001
From: natanielruiz <nataniel777@hotmail.com>
Date: 星期一, 07 八月 2017 05:15:52 +0800
Subject: [PATCH] next
---
code/datasets.py | 49 ++++++++++++++++++++++++++++++++++++++++++++-----
1 files changed, 44 insertions(+), 5 deletions(-)
diff --git a/code/datasets.py b/code/datasets.py
index 030059f..0ab364e 100644
--- a/code/datasets.py
+++ b/code/datasets.py
@@ -84,20 +84,59 @@
# We get the pose in radians
pose = utils.get_ypr_from_mat(os.path.join(self.data_dir, self.y_train[index] + self.annot_ext))
- # And convert to positive degrees.
- pose = pose * 180 / np.pi + 90
-
- label = torch.FloatTensor(pose)
+ # And convert to degrees.
+ pitch = pose[0] * 180 / np.pi
+ yaw = pose[1] * 180 / np.pi
+ roll = pose[2] * 180 / np.pi
+ # Bin values
+ bins = np.array(range(-99, 102, 3))
+ labels = torch.LongTensor(np.digitize([yaw, pitch, roll], bins) - 1)
if self.transform is not None:
img = self.transform(img)
- return img, label, self.X_train[index]
+ return img, labels, self.X_train[index]
def __len__(self):
# 122,450
return self.length
+class AFLW2000_binned(Dataset):
+ def __init__(self, data_dir, filename_path, transform, img_ext='.jpg', annot_ext='.mat'):
+ self.data_dir = data_dir
+ self.transform = transform
+ self.img_ext = img_ext
+ self.annot_ext = annot_ext
+
+ filename_list = get_list_from_filenames(filename_path)
+
+ self.X_train = filename_list
+ self.y_train = filename_list
+ self.length = len(filename_list)
+
+ def __getitem__(self, index):
+ img = Image.open(os.path.join(self.data_dir, self.X_train[index] + self.img_ext))
+ img = img.convert('RGB')
+
+ # We get the pose in radians
+ pose = utils.get_ypr_from_mat(os.path.join(self.data_dir, self.y_train[index] + self.annot_ext))
+ # And convert to degrees.
+ pitch = pose[0] * 180 / np.pi
+ yaw = pose[1] * 180 / np.pi
+ roll = pose[2] * 180 / np.pi
+ # Bin values
+ bins = np.array(range(-99, 102, 3))
+ labels = torch.LongTensor(np.digitize([yaw, pitch, roll], bins) - 1)
+
+ if self.transform is not None:
+ img = self.transform(img)
+
+ return img, labels, self.X_train[index]
+
+ def __len__(self):
+ # 2,000
+ return self.length
+
def get_list_from_filenames(file_path):
# input: relative path to .txt file with file names
# output: list of relative path names
--
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